Multi-Access Edge Computing Handover Strategies, Management, and Challenges: A Review Article Swipe
Shaimaa Alkaabi
,
Mark Gregory
,
Shuo Li
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2024.3349587
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/access.2024.3349587
The deployment and operation of Multi-Access Edge Computing (MEC) at the network edge provides low latency computing and storage services for end user devices. Support for device mobility is a functional requirement for MEC and a handover strategy that supports the movement of device and application state between MEC nodes is an underlying technology. The handover strategy utilizes an MEC node selection technique and a handover technique to provide a smooth transition between one MEC node to another. Research into MEC handover strategies has focused on algorithms, queuing, and other considerations. The migration of the MEC device and application state is a complex process that requires resource allocation in the destination MEC node that could involve provisioning application instances and, in some scenarios, support for containers or Virtual Machines to be received from the originating MEC node. This paper reviews MEC handover strategies and provides a description of the MEC reference architecture and proposed handover algorithms and techniques found in the literature. MEC handover challenges and gaps in the body of knowledge are discussed to provide guidance for future work.
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- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2024.3349587
- https://ieeexplore.ieee.org/ielx7/6287639/6514899/10380573.pdf
- OA Status
- gold
- Cited By
- 25
- References
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- OpenAlex ID
- https://openalex.org/W4390576749
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4390576749Canonical identifier for this work in OpenAlex
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https://doi.org/10.1109/access.2024.3349587Digital Object Identifier
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Multi-Access Edge Computing Handover Strategies, Management, and Challenges: A ReviewWork title
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reviewOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-01-01Full publication date if available
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Shaimaa Alkaabi, Mark Gregory, Shuo LiList of authors in order
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https://doi.org/10.1109/access.2024.3349587Publisher landing page
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/10380573.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://ieeexplore.ieee.org/ielx7/6287639/6514899/10380573.pdfDirect OA link when available
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Computer science, Handover, Edge computing, Enhanced Data Rates for GSM Evolution, Computer network, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
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25Total citation count in OpenAlex
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2025: 14, 2024: 11Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.storage | 18 |
| abstract_inverted_index.support | 123 |
| abstract_inverted_index.Machines | 128 |
| abstract_inverted_index.Research | 78 |
| abstract_inverted_index.another. | 77 |
| abstract_inverted_index.devices. | 23 |
| abstract_inverted_index.guidance | 176 |
| abstract_inverted_index.handover | 36, 55, 65, 81, 141, 154, 163 |
| abstract_inverted_index.mobility | 27 |
| abstract_inverted_index.movement | 41 |
| abstract_inverted_index.proposed | 153 |
| abstract_inverted_index.provides | 13, 144 |
| abstract_inverted_index.queuing, | 87 |
| abstract_inverted_index.received | 131 |
| abstract_inverted_index.requires | 105 |
| abstract_inverted_index.resource | 106 |
| abstract_inverted_index.services | 19 |
| abstract_inverted_index.strategy | 37, 56 |
| abstract_inverted_index.supports | 39 |
| abstract_inverted_index.utilizes | 57 |
| abstract_inverted_index.Computing | 7 |
| abstract_inverted_index.computing | 16 |
| abstract_inverted_index.discussed | 173 |
| abstract_inverted_index.instances | 118 |
| abstract_inverted_index.knowledge | 171 |
| abstract_inverted_index.migration | 92 |
| abstract_inverted_index.operation | 3 |
| abstract_inverted_index.reference | 150 |
| abstract_inverted_index.selection | 61 |
| abstract_inverted_index.technique | 62, 66 |
| abstract_inverted_index.algorithms | 155 |
| abstract_inverted_index.allocation | 107 |
| abstract_inverted_index.challenges | 164 |
| abstract_inverted_index.containers | 125 |
| abstract_inverted_index.deployment | 1 |
| abstract_inverted_index.functional | 30 |
| abstract_inverted_index.scenarios, | 122 |
| abstract_inverted_index.strategies | 82, 142 |
| abstract_inverted_index.techniques | 157 |
| abstract_inverted_index.transition | 71 |
| abstract_inverted_index.underlying | 52 |
| abstract_inverted_index.algorithms, | 86 |
| abstract_inverted_index.application | 45, 98, 117 |
| abstract_inverted_index.description | 146 |
| abstract_inverted_index.destination | 110 |
| abstract_inverted_index.literature. | 161 |
| abstract_inverted_index.originating | 134 |
| abstract_inverted_index.requirement | 31 |
| abstract_inverted_index.technology. | 53 |
| abstract_inverted_index.Multi-Access | 5 |
| abstract_inverted_index.architecture | 151 |
| abstract_inverted_index.provisioning | 116 |
| abstract_inverted_index.considerations. | 90 |
| cited_by_percentile_year.max | 100 |
| cited_by_percentile_year.min | 99 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.98897794 |
| citation_normalized_percentile.is_in_top_1_percent | True |
| citation_normalized_percentile.is_in_top_10_percent | True |